Business Analyst - Risk Management II

Get Referred

Job Description

Why American Express?
There’s a difference between having a job and making a difference.

American Express has been making a difference in people’s lives for over 160 years,
backing them in moments big and small, granting access, tools, and resources to take
on their biggest challenges and reap the greatest rewards.

We’ve also made a difference in the lives of our people, providing a culture of learning
and collaboration, and helping them with what they need to succeed and thrive. We
have their backs as they grow their skills, conquer new challenges, or even take time to
spend with their family or community. And when they’re ready to take on a new career
path, we’re right there with them, giving them the guidance and momentum into the
best future they envision.

Because we believe that the best way to back our customers is to back our people.

The powerful backing of American Express.
Don’t make a difference without it.
Don’t live life without it.

Function Description:
Position in question is in the Global Coollections Decision Science team based out of Gurgaon. The candidate will work on development and enhancement of Customer collections modeling suite and driving the next round of modeling

Purpose of the Role:

The candidate will work on optimizing the usage of Collections suite of models across different stages of collections.

1. Developing and enhancing existing Collection Models by leveraging best-in-class machine learning techniques
2. Exploring customer contact and interaction data, to build contact-ability models
3. Partnering with Strategy and Operations to develop Data Science Capabilities and other Predictive logic(s) that will help drive next genration Collection Strategies
4. Create systematic monitoring mechanism to track performance of models/underlying data and conducting detailed customer case reviews 

Critical Factors to Success:

Display Learning Motivation
Exhibit Candor in Communication
Follows Result driven approach


Past Experience:
Preferred Past Experience in analytics industry is preferable

Academic Background:

Master's degree in a quantitative discipline or MBA

Functional Skills/Capabilities:

•Strong aptitude to work in a modeling/analytical role
•Ability to integrate information from different sources in a coherent manner and interpret data to bring out key trends & identify opportunity areas
•Strong verbal, written and interpersonal communication skills

Technical Skills/Capabilities:

•Experience in SAS, Hive, Python programming/expertise in contemporary Machine Learning techniques

Knowledge of Platforms:

Cornerstone, Teradata, Machine Learning Platforms in AXP system (for internal candidates)

Behavioral Skills/Capabilities:
Enterprise Leadership Behaviors
•Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
•Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
•Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage .

ReqID: 19018291
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Oct 9, 2019, 10:53:09 AM